Increases in gas prices over the last several years may be a contributing factor to auto manufacturers focus on improving gas mileage. To help us become more informed about the variety of vehicles on the market, the following file is a collection of 41 vehicles manufactured in 2006.
1. Open the file and review the data in the table. Generate at least four different questions that you could explore by analyzing this data set.
2. Describe two classroom situations, one for which it would be beneficial to use a pre-collected data set and one for which students should be collecting data themselves. Provide a rationale for the benefits in each situation.
3. Using the attribute CITY produce a dot plot, box plot and histogram and place them side by side in the white space. Compare the representations you created. What characteristics of the distribution are more noticable or are hidden in each of the representations? What is a typical range of City mpg for these autos?
4. How can examining a distribution using three different linked graphical representations be a help or hindrance for students?
5. How could students use the box plot to describe the center and spread of the city mpg?
6. Do either of the measures of center, mean, or median best represent a typical city mgp for these autos? Defend your choice or provide an alternate way of representing the City mpg.
7. Click and drag the attribute engine type over the data to overlay a categorical variable on the Dot Plot. What does it tell you about the city mpg for each of the three engine types?
8. How can overlaying a categorical attribute on a dot plot of a numerical attribute influence students' ability to examine data?
9. Right click and remove the engine type from the graph. Then drag the engine type attribute to the y-axis. What similarities and differences do you notice about the distributions of City mpg for each of the engine types?
10. Examine the location of the mean and median in the three distributions (you can plot them on there). Explain the relative location of hte mean and median to each other in the three distributions
Wednesday Content & Information
MorningAngie's Materials
Video about a Harvard Study that concludes Math in high school is the best indicator of college success
http://www.cfa.harvard.edu/smg/ficss/ficss.html
CBR using Fathom
CBR Experiment.ftm
- Details
- Download
- 23 KB
Graph ideas for the CBR(Note: I added a text box to the fathom file above that explains how to use this experiment and set up a new one.)
Afternoon
Activity 1. Interactive Worksheets - Follow up from morning session
- Fathom
ExcelActivity 2. Fathom Survey
http://survey.keypress.com/web/loginForm.php
http://www.keypress.com/x22325.xml
Activity 3. Join Wikispaces
Activity 4.** FathomIncreases in gas prices over the last several years may be a contributing factor to auto manufacturers focus on improving gas mileage. To help us become more informed about the variety of vehicles on the market, the following file is a collection of 41 vehicles manufactured in 2006.
2006Vehicles.ftm
- Details
- Download
- 15 KB
1. Open the file and review the data in the table. Generate at least four different questions that you could explore by analyzing this data set.
2. Describe two classroom situations, one for which it would be beneficial to use a pre-collected data set and one for which students should be collecting data themselves. Provide a rationale for the benefits in each situation.
3. Using the attribute CITY produce a dot plot, box plot and histogram and place them side by side in the white space. Compare the representations you created. What characteristics of the distribution are more noticable or are hidden in each of the representations? What is a typical range of City mpg for these autos?
4. How can examining a distribution using three different linked graphical representations be a help or hindrance for students?
5. How could students use the box plot to describe the center and spread of the city mpg?
6. Do either of the measures of center, mean, or median best represent a typical city mgp for these autos? Defend your choice or provide an alternate way of representing the City mpg.
7. Click and drag the attribute engine type over the data to overlay a categorical variable on the Dot Plot. What does it tell you about the city mpg for each of the three engine types?
8. How can overlaying a categorical attribute on a dot plot of a numerical attribute influence students' ability to examine data?
9. Right click and remove the engine type from the graph. Then drag the engine type attribute to the y-axis. What similarities and differences do you notice about the distributions of City mpg for each of the engine types?
10. Examine the location of the mean and median in the three distributions (you can plot them on there). Explain the relative location of hte mean and median to each other in the three distributions